Securing internet of things using machine and deep learning methods: a survey
A Ghaffari, N Jelodari, S pouralish, N derakhshanfard… - Cluster …, 2024 - Springer
Abstract The Internet of Things (IoT) is a vast network of devices with sensors or actuators
connected through wired or wireless networks. It has a transformative effect on integrating …
connected through wired or wireless networks. It has a transformative effect on integrating …
FedUB: Federated Learning Algorithm Based on Update Bias
H Zhang, P Zhang, M Hu, M Liu, J Wang - Mathematics, 2024 - mdpi.com
Federated learning, as a distributed machine learning framework, aims to protect data
privacy while addressing the issue of data silos by collaboratively training models across …
privacy while addressing the issue of data silos by collaboratively training models across …
Evaluating the Efficacy of Traditional Machine Learning Models in Speaker Recognition: A Comparative Study Using the LibriSpeech Dataset
G Airlangga - Brilliance: Research of Artificial Intelligence, 2023 - jurnal.itscience.org
The efficacy of machine learning models in speaker recognition tasks is critical for
advancements in security systems, biometric authentication, and personalized user …
advancements in security systems, biometric authentication, and personalized user …
[PDF][PDF] Trustworthy Transmissions: Flexi-Cryptic Defense for IIoT Security Assurance
G Shabir - researchgate.net
In the realm of Industrial Internet of Things (IIoT), ensuring the security and integrity of data
transmissions is paramount. Traditional cryptographic methods often fall short in …
transmissions is paramount. Traditional cryptographic methods often fall short in …